CN102402985A - Voiceprint authentication system for improving voiceprint identification safety and method for realizing the same - Google Patents

Voiceprint authentication system for improving voiceprint identification safety and method for realizing the same Download PDF

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CN102402985A
CN102402985A CN2010102807515A CN201010280751A CN102402985A CN 102402985 A CN102402985 A CN 102402985A CN 2010102807515 A CN2010102807515 A CN 2010102807515A CN 201010280751 A CN201010280751 A CN 201010280751A CN 102402985 A CN102402985 A CN 102402985A
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voice
voiceprint
user
password
identification module
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许东星
黄伟
李霄寒
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Shengle Information Technolpogy Shanghai Co Ltd
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Shengle Information Technolpogy Shanghai Co Ltd
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Abstract

The invention discloses a voiceprint authentication system for improving voiceprint identification safety, which comprises a password creating module, a voice identification module and a voiceprint identification module; the password creating module is connected with a server, and the server generates a random password or a user-defined fixed password; the voice identification module is used for performing mode matching to voice context and password context provided by user, and the voiceprint identification module works if the voice context is matched with the password context; the voiceprint identification module includes a register unit and a test unit, and a speaker model is created in the register unit; the test unit comprises a voice effectiveness detection module and a voiceprint authentication judgment module; in the test unit, the user is firstly required to read the password for more than two times for the voice effectiveness detection, and if voice data is effective data naturally generated by the user, the speaker model is called to analyze phonetic feature provided in test, and confirmation judgment is carried out to accept or reject the user. In addition, the invention also discloses a method for realizing the system. The safety of voiceprint identification can be effectively improved.

Description

Improve voiceprint system and its implementation of Application on Voiceprint Recognition security
Technical field
The present invention relates to a kind of voiceprint system, relate in particular to a kind of voiceprint system that improves the Application on Voiceprint Recognition security; In addition, the invention still further relates to the implementation method of the voiceprint system of this raising Application on Voiceprint Recognition security.
Background technology
Identity authorization system based on vocal print adopts fixed password or technological with the Application on Voiceprint Recognition of text-independent usually, and no matter fixed password still is the password of text-independent, and the voice of all being recorded are in advance easily attacked, and is perhaps attacked by manual work splicing, the synthetic voice of machine.Different people's voice have different features, can be used to distinguish different speakers, and this is the basis that voice are used for voiceprint.People's voice are rich in variability, and not only people's sound can also can change along with people's condition along with change of age; Even if in the relatively shorter time interval, the voice of the same content that same individual says are still different, and this point is different with the voice that recording, artificial splicing, machine synthesize; Therefore, how research and develop a kind of voiceprint system, increase and emitted the cost of recognizing user's rogue attacks to These characteristics; To improve the security of Application on Voiceprint Recognition, be the problem of needing solution badly.
Summary of the invention
The technical matters that the present invention will solve provides a kind of voiceprint system that improves the Application on Voiceprint Recognition security, and it can increase and is emitted the cost of recognizing user's rogue attacks, the security that effectively improves Application on Voiceprint Recognition.In addition, the present invention also provides the implementation method of the voiceprint system of this raising Application on Voiceprint Recognition security.
For solving the problems of the technologies described above, the present invention provides a kind of voiceprint system that improves the Application on Voiceprint Recognition security, it is characterized in that, comprising: password is set up module, sound identification module and voiceprint identification module; This password is set up module and is linked to each other with server, and server produces random cipher or the user sets fixed password; The voice that this sound identification module is used for the user is provided carry out content analysis, and the voice content and the password content that provide are carried out pattern match, if both do not meet, explains that the password that the user provides is nonconforming, conform to as if both, then get into voiceprint identification module; This voiceprint identification module is divided into registering unit and test cell; Set up speaker model in registering unit; This test cell comprises voice validity detection module and vocal print authenticate-acknowledge judging module; At first require the user password to be read more than 2 times at test cell, the speech data that the user is provided carries out the detection of voice validity, if the spontaneous valid data of user; Then call speaker model; The phonetic feature that provides during analytical test carries out one and confirms judgement, accepts or refusal.
Set up speaker model in registering unit in the said voiceprint identification module; Be specially: the speaker provides the speech data of plurality of sections fixed password and random number word string; On the basis of the universal background model that a large amount of voice trainings by a large amount of speakers go out; Through the maximum a posteriori probability adaptive algorithm this speaker's model parameter is estimated, set up this speaker model.
Said voiceprint identification module is carried out voice validity at test cell and is detected; Comprise the speech data that the user is provided record detection and splicing and machine is synthetic detects; As the testing result of recording judges that speech data that the user provides belongs to recording and then belongs to invalid data, judges that like splicing and the synthetic testing result of machine the speech data that the user provides belongs to splicing and the synthetic invalid data that then belongs to of machine.
In voice validity detects, the voice more than 2 that the user provided are further checked, if the difference of 2 above voice that the user provides is less than the difference between the normal twice above sounding of people; Explain that these voice are invalid datas; Then give in refusal, otherwise, then be valid data.
Said voiceprint identification module is called speaker model at test cell, and the phonetic feature that provides during analytical test carries out one and confirms judgement; Be specially: the system call speaker model, the phonetic feature that provides during analytical test obtains a coupling scoring of tested speech and this speaker model coupling; And the threshold value that will mark with voiceprint matees, if scoring greater than threshold value, is then accepted; Otherwise,, then refuse if scoring is lower than threshold value.
In addition, the present invention also provides a kind of implementation method that improves the voiceprint system of Application on Voiceprint Recognition security, comprises the steps:
(1) server generation random cipher or user set fixed password;
(2) user provides voice;
(3) sound identification module carries out content analysis to the voice that the user provides, and the voice content and the password content that provide are carried out pattern match, judges whether both conform to; If do not meet; Explain that the password that the user provides is nonconforming, should give refusal, get back to step (2) and require the user to read again; If conform to, then get into step (4);
(4) at registration phase, voiceprint identification module is set up speaker model; At test phase, at first require the user that password is read more than 2 times, do not reach 2 like voice, then get back to step (2) and require the user to read again, reach more than 2 until voice; The speech data that then user is provided carries out voice validity and detects, and judges whether the data that provide are the spontaneous valid data of user, if invalid data, then refusal is got back to step (2) and required the user to read again; If valid data, the system call speaker model, the phonetic feature that provides during analytical test carries out one and confirms judgement, accepts or refusal;
Voice validity in the step (4) detects can be put into step (3) before.
In the step (4); Saidly set up speaker model in the registration phase voiceprint identification module; Be specially: the speaker provides the speech data of plurality of sections fixed password and random number word string; On the basis of the universal background model that a large amount of voice trainings by a large amount of speakers go out, through the maximum a posteriori probability adaptive algorithm this speaker's model parameter is estimated, set up this speaker model.
In the step (4); Said voice validity at test phase detects and is specially: the speech data that the user is provided is recorded, and detection and splicing and machine are synthetic to be detected; As the testing result of recording judges that speech data that the user provides belongs to recording and then belongs to invalid data, judges that like splicing and the synthetic testing result of machine the speech data that the user provides belongs to splicing and the synthetic invalid data that then belongs to of machine.
In the step (4); During said voice validity at test phase detects, the voice more than 2 that the user provided are further checked, if the difference of 2 above voice that the user provides is less than the difference between the normal twice above sounding of people; Explain that these voice are invalid datas; Then give in refusal, otherwise, then be valid data.
In the step (4), said at test phase system call speaker model, the phonetic feature that provides during analytical test; Carry out one and confirm judgement, be specially: system call speaker model, the phonetic feature that provides during analytical test; Obtain a coupling scoring of tested speech and this speaker model coupling, and will mark and the threshold value of voiceprint is mated, as if marking greater than threshold value; Then accept process ends; Otherwise if scoring is lower than threshold value, then refusal is got back to step (2) and is required the user to read again.
Beneficial effect of the present invention is: the present invention is on the basis of Application on Voiceprint Recognition technology; Method through signal Processing, pattern-recognition; The voice of the password that the user is provided and the voice of reading again are analyzed; Validity to voice is verified, can effectively prevent the attack of modes such as recording, manual work is spliced, machine is synthetic, the security of the voiceprint that improves greatly.
Description of drawings
Fig. 1 is the modular structure synoptic diagram of system of the present invention;
Fig. 2 is the schematic flow sheet of registration phase in the inventive method;
Fig. 3 is the schematic flow sheet of test phase in the inventive method;
Fig. 4 is the schematic flow sheet of speech verification in the inventive method (being that voice validity detects).
Embodiment
As shown in Figure 1, the voiceprint system that the present invention improves the Application on Voiceprint Recognition security mainly is made up of following three parts:
1. password is set up module.This password is set up module and is linked to each other with server, is produced random cipher or is set fixed password by the user by server.
2. sound identification module.This module is carried out content analysis to the voice that the user provides, and the voice and the password content that provide are carried out pattern match, judges whether both conform to, if do not meet, explains that the password that the user provides is nonconforming, should give refusal.If conform to, the voiceprint identification module below then getting into.
3. voiceprint identification module, this module is made up of two parts: registering unit and test cell; This registering unit is specially: the speaker provides the speech data of plurality of sections fixed password and random number word string; On the basis of the universal background model (for example gauss hybrid models) that a large amount of voice trainings by a large amount of speakers go out; Through maximum a posteriori probability adaptive algorithm (classic algorithm well known in the art) this speaker's model parameter is estimated, set up this speaker's model; This test cell comprises voice validity detection module and vocal print authenticate-acknowledge judging module; Voice validity detection module at first requires the user that password is read more than 2 times; The speech data that the user is provided carries out the detection of voice validity; Judge whether the data that provide are the spontaneous valid data of user; If invalid data (comprising recording, splicing and invalid data such as synthetic), then refusal; If valid data, the voiceprint below then getting into is confirmed judging module.In voice validity detects, the voice more than 2 that the user provided are further checked, if twice pronunciation that the voice more than 2 provide according to system for the user; Because people's sounding is not fixed, and has certain difference between twice sounding, if the difference of the voice that the user provides is less than the difference between the normal twice above sounding of people; Explain that these voice more than 2 are invalid datas, then give in refusal, otherwise; Then be valid data, carry out following voiceprint and confirm judging module, be specially: the system call speaker model; The phonetic feature that provides during analytical test obtains a coupling scoring of tested speech and this speaker model coupling, and will mark and the threshold value of voiceprint is mated; Carry out one and confirm judgement, if scoring greater than threshold value, is then accepted; Otherwise,, then refuse if scoring is lower than threshold value.
The present invention adopts stressed Application on Voiceprint Recognition technology, increases and is emitted the cost of recognizing user's rogue attacks, improves the security of system.When the present invention is used for the user and logins; At first obtain the password that the user need read (like Chinese idiom or character string at random), offer the user, require the user to read password content more than 2 times then and (can require that the user is disposable to read password twice from server; Perhaps require the user to read three times or more etc.); Detect through voice validity, if not invalid voice such as recording, splicing, machine be synthetic then continue the voiceprint of back.
Application on Voiceprint Recognition belongs to a kind of of biological identification technology, is a speech parameter according to reflection speaker's physiology and behavioural characteristic in the speech waveform, discerns the technology of speaker ' s identity automatically.Different with speech recognition is, the Application on Voiceprint Recognition utilization be the speaker information in the voice signal, and do not consider the words meaning in the voice, it stresses speaker's individual character; And the purpose of speech recognition is the speech content that identifies in the voice signal, does not consider whom the speaker is, it stresses general character.
As shown in Figures 2 and 3, the implementation method of the voiceprint system of raising Application on Voiceprint Recognition of the present invention security comprises the steps:
(1) server generation random cipher or user set fixed password;
(2) user provides voice;
(3) sound identification module carries out content analysis to the voice that the user provides; Voice content and password content to providing are carried out pattern match; Judge whether both conform to, if do not meet, explain that the password that the user provides is nonconforming; Should give refusal, get back to step (2) user voice (promptly requiring the user to read again) are provided again; If conform to, then get into step (4);
(4) at registration phase, voiceprint identification module is set up speaker model (promptly registering model), sees Fig. 2; At test phase, at first require the user that password is read (voice to be reached more than 2) more than 2 times, do not reach 2 like voice; Then get back to step (2), promptly require the user to read again, reach more than 2 until voice; The speech data more than 2 that the user is provided carries out voice validity detection (being speech verification); Judge whether the data provide are the spontaneous valid data of user, if invalid data (comprising recording, splicing and invalid data such as synthetic) is then refused; Get back to step (2), promptly require the user to read again; If valid data, the voiceprint below then getting into is confirmed decision steps; In voice validity detects, the voice more than 2 that the user provided are further checked, if twice pronunciation that the voice more than 2 provide according to system for the user, because people's sounding is not fixed; There is certain difference between twice sounding, if the difference of the voice that the user provides explains that less than the difference between the normal twice above sounding of people these voice more than 2 are invalid datas; Then give in refusal, otherwise, then be valid data; Carry out following voiceprint and confirm decision steps, be specially: system call speaker model (promptly registering model), the phonetic feature that provides during analytical test; Obtain a coupling scoring of tested speech and this speaker model coupling, and will mark and the threshold value of voiceprint is mated, carry out an affirmation and adjudicate; If scoring greater than threshold value, is then accepted process ends; Otherwise if scoring is lower than threshold value, then refusal is got back to step (2), promptly requires the user to read again, sees Fig. 3;
Voice validity in the step (4) detects can be put into step (3) before.
As shown in Figure 4; The concrete steps that voice validity detects comprise: the speech cipher more than 2 that the user is provided (among Fig. 4 with 2 speech ciphers---speech cipher 1 be an example with speech cipher 2) the synthetic detection of detection and splicing and machine of recording; Whether in user's individual database, used detection recording and splicing (as using like the data that provide through audio-frequency fingerprint method detection user; Explain that then it belongs to recording or splicing); Through spectrum analysis, whether the voice that observation voice spectrum characteristic comes inspection user to provide are synthetic speech, or the like.As the testing result of recording judges that speech data that the user provides belongs to recording and then belongs to invalid data, judges that like splicing and the synthetic testing result of machine the speech data that the user provides belongs to splicing and the synthetic invalid data that then belongs to of machine.Otherwise, being judged as valid data, the voiceprint that gets into the back is confirmed decision steps (system call speaker model (promptly registering model); The phonetic feature that provides during analytical test obtains a coupling scoring of tested speech and the speaker model coupling of this statement, and will mark and the threshold value of voiceprint is mated; Carry out one and confirm judgement, if scoring greater than threshold value, is then accepted; Otherwise,, then refuse if scoring is lower than threshold value).
The present invention is through letting the user read password (no matter fixed password or random cipher) again; Twice above voice document analyzed, if do not meet the characteristics that the user reads again naturally, the then login of refusal response; By this method; The security of Application on Voiceprint Recognition can effectively be provided, increase and emitted the cost of recognizing user's rogue attacks, improve the security of system.

Claims (10)

1. a voiceprint system that improves the Application on Voiceprint Recognition security is characterized in that, comprising: password is set up module, sound identification module and voiceprint identification module;
This password is set up module and is linked to each other with server, and server produces random cipher or the user sets fixed password;
The voice that this sound identification module is used for the user is provided carry out content analysis, and the voice content and the password content that provide are carried out pattern match, if both do not meet, explains that the password that the user provides is nonconforming, conform to as if both, then get into voiceprint identification module;
This voiceprint identification module is divided into registering unit and test cell; Set up speaker model in registering unit; This test cell comprises voice validity detection module and vocal print authenticate-acknowledge judging module; At first require the user password to be read more than 2 times at test cell, the speech data that the user is provided carries out the detection of voice validity, if the spontaneous valid data of user; Then call speaker model; The phonetic feature that provides during analytical test carries out one and confirms judgement, accepts or refusal.
2. the voiceprint system of raising Application on Voiceprint Recognition as claimed in claim 1 security; It is characterized in that; Set up speaker model in registering unit in the said voiceprint identification module, be specially: the speaker provides the speech data of plurality of sections fixed password and random number word string, on the basis of the universal background model that a large amount of voice trainings by a large amount of speakers go out; Through the maximum a posteriori probability adaptive algorithm this speaker's model parameter is estimated, set up this speaker model.
3. the voiceprint system of raising Application on Voiceprint Recognition as claimed in claim 1 security; It is characterized in that; Said voiceprint identification module is carried out voice validity at test cell and is detected; Comprise the speech data that the user is provided record detection and splicing and machine is synthetic detects; As the testing result of recording judges that speech data that the user provides belongs to recording and then belongs to invalid data, judges that like splicing and the synthetic testing result of machine the speech data that the user provides belongs to splicing and the synthetic invalid data that then belongs to of machine.
4. like the voiceprint system of claim 1 or 3 described raising Application on Voiceprint Recognition securities, it is characterized in that, in voice validity detects; The voice more than 2 to the user provided are further checked; If the difference of 2 above voice that the user provides explains that less than the difference between the normal twice above sounding of people these voice are invalid datas, then give in refusal; Otherwise, then be valid data.
5. the voiceprint system of raising Application on Voiceprint Recognition as claimed in claim 1 security is characterized in that said voiceprint identification module is called speaker model at test cell; The phonetic feature that provides during analytical test carries out one and confirms judgement, is specially: the system call speaker model; The phonetic feature that provides during analytical test obtains a coupling scoring of tested speech and this speaker model coupling, and will mark and the threshold value of voiceprint is mated; If scoring greater than threshold value, is then accepted, otherwise; If scoring is lower than threshold value, then refuse.
6. an implementation method that improves the voiceprint system of Application on Voiceprint Recognition security is characterized in that, comprises the steps:
(1) server generation random cipher or user set fixed password;
(2) user provides voice;
(3) sound identification module carries out content analysis to the voice that the user provides, and the voice content and the password content that provide are carried out pattern match, judges whether both conform to; If do not meet; Explain that the password that the user provides is nonconforming, should give refusal, get back to step (2) and require the user to read again; If conform to, then get into step (4);
(4) at registration phase, voiceprint identification module is set up speaker model; At test phase, at first require the user that password is read more than 2 times, do not reach 2 like voice, then get back to step (2) and require the user to read again, reach more than 2 until voice; The speech data that then user is provided carries out voice validity and detects, and judges whether the data that provide are the spontaneous valid data of user, if invalid data, then refusal is got back to step (2) and required the user to read again; If valid data, the system call speaker model, the phonetic feature that provides during analytical test carries out one and confirms judgement, accepts or refusal;
Voice validity in the step (4) detects can be put into step (3) before.
7. the implementation method of the voiceprint system of raising Application on Voiceprint Recognition as claimed in claim 6 security; It is characterized in that; In the step (4); Saidly set up speaker model in the registration phase voiceprint identification module, be specially: the speaker provides the speech data of plurality of sections fixed password and random number word string, on the basis of the universal background model that a large amount of voice trainings by a large amount of speakers go out; Through the maximum a posteriori probability adaptive algorithm this speaker's model parameter is estimated, set up this speaker model.
8. the implementation method of the voiceprint system of raising Application on Voiceprint Recognition as claimed in claim 6 security; It is characterized in that; In the step (4); Said voice validity at test phase detects and is specially: the speech data that the user is provided is recorded, and detection and splicing and machine are synthetic to be detected; As the testing result of recording judges that speech data that the user provides belongs to recording and then belongs to invalid data, judges that like splicing and the synthetic testing result of machine the speech data that the user provides belongs to splicing and the synthetic invalid data that then belongs to of machine.
9. like the implementation method of the voiceprint system of claim 6 or 8 described raising Application on Voiceprint Recognition securities, it is characterized in that, in the step (4); During said voice validity at test phase detects, the voice more than 2 that the user provided are further checked, if the difference of 2 above voice that the user provides is less than the difference between the normal twice above sounding of people; Explain that these voice are invalid datas; Then give in refusal, otherwise, then be valid data.
10. the implementation method of the voiceprint system of raising Application on Voiceprint Recognition as claimed in claim 6 security is characterized in that, in the step (4); Said at test phase system call speaker model, the phonetic feature that provides during analytical test carries out one and confirms judgement; Be specially: the system call speaker model, the phonetic feature that provides during analytical test obtains a coupling scoring of tested speech and this speaker model coupling; And the threshold value that will mark with voiceprint is mated; If scoring greater than threshold value, is then accepted process ends; Otherwise if scoring is lower than threshold value, then refusal is got back to step (2) and is required the user to read again.
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